Analysis of momentum strategy performance in the Brazilian stock market

Detalhes bibliográficos
Autor(a) principal: Piccoli, Renan Madaschi
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/149463
Resumo: Market anomalies are empirical findings that contradict established asset-pricing theories and/or efficient capital market hypotheses. Momentum is a market anomaly which has been researched widely for several securities and for almost three decades now. Quantitative trading has seen an increase in use in the recent past due to the growth in computational capacity and information availability. Quantitative trading and momentum trading strategies have been researched with positive results in wide variety of markets. This thesis aims to test a momentum strategy in the Brazilian stock market to verify the presence of the momentum anomaly as well as possibility to use it to obtain abnormal returns. In order to test the momentum trading strategy, a database containing all traded stock ranging from 2006 to 2021 was used to perform a back test of the trading strategy using different parameters and obtain the returns, volatility and Sharpe ratio. Despite showing large losses during crashes in the market, the cumulative return shows higher returns than the risk-free rate (CDI rate) and the main Brazilian stock market index (IBOV index).
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spelling Analysis of momentum strategy performance in the Brazilian stock marketMomentum investment strategiesBacktestingBrazilian stock marketDomínio/Área Científica: Ciências Sociais: Economia e GestãoMarket anomalies are empirical findings that contradict established asset-pricing theories and/or efficient capital market hypotheses. Momentum is a market anomaly which has been researched widely for several securities and for almost three decades now. Quantitative trading has seen an increase in use in the recent past due to the growth in computational capacity and information availability. Quantitative trading and momentum trading strategies have been researched with positive results in wide variety of markets. This thesis aims to test a momentum strategy in the Brazilian stock market to verify the presence of the momentum anomaly as well as possibility to use it to obtain abnormal returns. In order to test the momentum trading strategy, a database containing all traded stock ranging from 2006 to 2021 was used to perform a back test of the trading strategy using different parameters and obtain the returns, volatility and Sharpe ratio. Despite showing large losses during crashes in the market, the cumulative return shows higher returns than the risk-free rate (CDI rate) and the main Brazilian stock market index (IBOV index).Silva, RuiRUNPiccoli, Renan Madaschi2023-02-20T17:14:35Z2023-02-012023-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/149463TID:203215419engmetadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:31:22Zoai:run.unl.pt:10362/149463Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:53:45.618970Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Analysis of momentum strategy performance in the Brazilian stock market
title Analysis of momentum strategy performance in the Brazilian stock market
spellingShingle Analysis of momentum strategy performance in the Brazilian stock market
Piccoli, Renan Madaschi
Momentum investment strategies
Backtesting
Brazilian stock market
Domínio/Área Científica: Ciências Sociais: Economia e Gestão
title_short Analysis of momentum strategy performance in the Brazilian stock market
title_full Analysis of momentum strategy performance in the Brazilian stock market
title_fullStr Analysis of momentum strategy performance in the Brazilian stock market
title_full_unstemmed Analysis of momentum strategy performance in the Brazilian stock market
title_sort Analysis of momentum strategy performance in the Brazilian stock market
author Piccoli, Renan Madaschi
author_facet Piccoli, Renan Madaschi
author_role author
dc.contributor.none.fl_str_mv Silva, Rui
RUN
dc.contributor.author.fl_str_mv Piccoli, Renan Madaschi
dc.subject.por.fl_str_mv Momentum investment strategies
Backtesting
Brazilian stock market
Domínio/Área Científica: Ciências Sociais: Economia e Gestão
topic Momentum investment strategies
Backtesting
Brazilian stock market
Domínio/Área Científica: Ciências Sociais: Economia e Gestão
description Market anomalies are empirical findings that contradict established asset-pricing theories and/or efficient capital market hypotheses. Momentum is a market anomaly which has been researched widely for several securities and for almost three decades now. Quantitative trading has seen an increase in use in the recent past due to the growth in computational capacity and information availability. Quantitative trading and momentum trading strategies have been researched with positive results in wide variety of markets. This thesis aims to test a momentum strategy in the Brazilian stock market to verify the presence of the momentum anomaly as well as possibility to use it to obtain abnormal returns. In order to test the momentum trading strategy, a database containing all traded stock ranging from 2006 to 2021 was used to perform a back test of the trading strategy using different parameters and obtain the returns, volatility and Sharpe ratio. Despite showing large losses during crashes in the market, the cumulative return shows higher returns than the risk-free rate (CDI rate) and the main Brazilian stock market index (IBOV index).
publishDate 2023
dc.date.none.fl_str_mv 2023-02-20T17:14:35Z
2023-02-01
2023-02-01T00:00:00Z
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